LexisNexis Legal & Professional is a leading global provider of legal, regulatory and business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® ...
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This permanent role offers the opportunity to develop and maintain internal AI tools for our legal content team. This role is ideal for someone passionate about problem-solving, operational efficiency, and driving automation and AI development through code. You’ll work closely with AI developers, internal lawyers, paralegals, commissioning editors and product leaders to build innovative AI-powered solutions that deliver tangible internal business impact for our teams.
Responsibilities
Working with cross-functional legal content teams to identify pain points and propose intelligent, scalable solutions.
Rapidly prototype, test, and iterate solutions in collaboration with end users and internal stakeholders.
Participating in automating build, testing, and deployment processes across development, staging of AI and automation solutions.
Contributing to operational improvements by automating repetitive manual tasks and proactively managing recurring issues.
Applying a creative and analytical thinking to evaluate problems and communicate technical solutions effectively.
Operating within an agile development environment, contributing to sprints, standups, and reviews.
Requirements
Be proficient in at least one of the following: Python, Java, C#, or TypeScript, with experience in front-end development (e.g., React), and knowledge of integrating Large Language Models (LLMs) via APIs”
Have experience in prompt engineering, RAG (Retrieval-Augmented Generation), or vector databases
Understand software deployment pipelines and CI/CD tools.
Be comfortable debugging and resolving moderately complex AI bugs.
Have prior experience in a Software Engineering role or AI developer role within an agile environment.
Have strong interest in emerging trends in AI, automation, and software development.
Demonstrate the ability to explain complex technical problems to non-technical audiences.
Show enthusiasm for learning, experimentation, and continuous improvement.
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